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@@ -73,11 +73,14 @@ between objects** in a scene, rather than only their semantic identity.
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  - 📄 **Paper:** [arXiv:2601.11729](https://arxiv.org/abs/2601.11729)
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  - 💻 **Code:** [github.com/gmum/SpaRRTa](https://github.com/gmum/SpaRRTa)
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- - 🧱 **Real-world (lego) split:** hosted separately at `turhancan97/SpaRRTa-Lego`
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-
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- This repository hosts the **synthetic (Unreal Engine 5)** portion of the benchmark. The
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- complementary real-world set — photographed with toy minifigures for sim-to-real evaluation —
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- is released at [`turhancan97/SpaRRTa-Lego`](https://huggingface.co/datasets/turhancan97/SpaRRTa-Lego).
 
 
 
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  <p align="center">
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  <img src="assets/teaser.png" alt="SpaRRTa teaser" width="100%">
 
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  - 📄 **Paper:** [arXiv:2601.11729](https://arxiv.org/abs/2601.11729)
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  - 💻 **Code:** [github.com/gmum/SpaRRTa](https://github.com/gmum/SpaRRTa)
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+ - 🧱 **Real-world (lego) split:** [turhancan97/SpaRRTa-Lego](https://huggingface.co/datasets/turhancan97/SpaRRTa-Lego)
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+ - 🔬 **Attention-analysis split (images + masks):** [turhancan97/SpaRRTa-Attention](https://huggingface.co/datasets/turhancan97/SpaRRTa-Attention)
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+
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+ This repository hosts the **synthetic (Unreal Engine 5)** portion of the benchmark. It is
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+ complemented by two companion splits: the real-world set photographed with toy minifigures for
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+ sim-to-real evaluation ([`turhancan97/SpaRRTa-Lego`](https://huggingface.co/datasets/turhancan97/SpaRRTa-Lego)),
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+ and an attention-analysis set with per-object segmentation masks
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+ ([`turhancan97/SpaRRTa-Attention`](https://huggingface.co/datasets/turhancan97/SpaRRTa-Attention)).
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  <p align="center">
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  <img src="assets/teaser.png" alt="SpaRRTa teaser" width="100%">